摘要
从产业-社会-资源三者统筹发展的视角,设计评价指标体系,把信息熵与TOPSIS法相结合建立产业转型绩效评价模型,采用驱动度模型和障碍度模型分析诊断其驱动因素及拖慢产业转型的障碍因素。结果表明:2010-2018年大小兴安岭国有林区产业转型综合绩效水平经历了极差、较差、中等、良好4个发展阶段,整体呈上升趋势;产业子系统是大小兴安岭国有林区产业转型中的系统层驱动因素,林业总产值、林下经济产值、森林公园占地面积占比、森林生态旅游产值以及森林绿色食品产值是指标层驱动因素;社会子系统是产业转型的系统层障碍因素;销售产值、年末参加基本医疗保险人数占比以及固定资产投资额是指标层的主要障碍因素。
The evaluation index system was designed from the perspective of the overall development of industry,society and resources.The information entropy and TOPSIS method were combined to establish the industrial transformation performance evaluation model.The driving factors were analyzed by using the driving degree model,the obstacle factors which slowed down the process of industrial transformation were analyzed and diagnosed by using the obstacle degree model.The results showed that from 2010 tO2018 the comprehensive performance level of industrial transformation in the state-owned forest region of Daxing’an Mountains and Xiaoxing’an Mountains went through four development stages,including extremely poor,relatively poor,medium and good,and the overall trend,was upward.In the industrial transformation of the state-owned forest areas in Daxing’an Mountains and Xiaoxing’an Mountains,the industrial subsystem was the system layer driving factor,the total output forestry value,the economic output value under the forest,the proportion of forest park area,the forest ecotourism output value and the forest green food output value were the indicator layer main driving factors;the social subsystem was the systematic layer obstacle factor of industrial transformation;the sales output value,proportion of people participating in basic medical insurance at the end of the year as well as fixed asset investment were the main obstacle factors in the indicator layer.
作者
李朝洪
孙丹
王志伟
Li Chaohong;Sun Dan;Wang Zhiwei(Northeast Forestry University.Harbin 150040,P.R.China;Research Institution of CNAO)
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2020年第5期133-138,共6页
Journal of Northeast Forestry University
基金
黑龙江省哲学社会科学研究规划项目(16JYB07)。
关键词
国有林区
产业转型
绩效评价
驱动因素
障碍度模型
State-owned forest areas
Industrial transformation
Performance evaluation
Driving factors
Obstacle degree model